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Download Proceedings Of 1997 Ieee International Conference On Evolutionary Computation Icec 1997 full books in PDF, epub, and Kindle. Read online Proceedings Of 1997 Ieee International Conference On Evolutionary Computation Icec 1997 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author :
Publisher :
ISBN 13 : 9780780339491
Total Pages : pages
Book Rating : 4.3/5 (394 download)
Download or read book 1997 IEEE International Conference On Evolutionary Computation (ICEC). written by and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE.
Publisher :
ISBN 13 : 9780780339507
Total Pages : 724 pages
Book Rating : 4.3/5 (395 download)
Download or read book Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) written by IEEE. and published by . This book was released on 1997 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 :
Total Pages : 724 pages
Book Rating : 4.:/5 (641 download)
Download or read book Proceedings of 1997 IEEE International Conference on Evolutionary Computation (Icec '1997) written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1997 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jens Gottlieb
Publisher : Springer
ISBN 13 : 3540246525
Total Pages : 252 pages
Book Rating : 4.5/5 (42 download)
Download or read book Evolutionary Computation in Combinatorial Optimization written by Jens Gottlieb and published by Springer. This book was released on 2004-03-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Computation (EC) involves the study of problem solving and op- mization techniques inspired by principles of natural evolution and genetics. EC has been able to draw the attention of an increasing number of researchers and practitioners in several ?elds. Evolutionary algorithms have in particular been showntobee?ectivefordi?cultcombinatorialoptimizationproblemsappearing in various industrial, economic, and scienti?c domains. This volume contains the proceedings of EvoCOP 2004, the 4th European ConferenceonEvolutionaryComputationinCombinatorialOptimization.Itwas held in Coimbra, Portugal, on April 5-7, 2004, jointly with EuroGP 2004, the 7th European Conference on Genetic Programming, and EvoWorkshops 2004, which consisted of the following six individual workshops: EvoBIO, the 2nd - ropean Workshop on Evolutionary Bioinformatics; EvoCOMNET, the 1st - ropean Workshop on Evolutionary Computation in Communications, Networks, and Connected Systems; EvoHOT, the 1st European Workshop on Hardware Optimisation; EvoIASP, the 6th European Workshop on Evolutionary Com- tation in Image Analysis and Signal Processing; EvoMUSART, the 2nd Eu- pean Workshop on Evolutionary Music and Art; and EvoSTOC, the 1st Eu- pean Workshop on Evolutionary Algorithms in Stochastic and Dynamic En- ronments
Author : Ashish Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 3540774661
Total Pages : 169 pages
Book Rating : 4.5/5 (47 download)
Download or read book Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases written by Ashish Ghosh and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Author : Inman Harvey
Publisher : Springer Science & Business Media
ISBN 13 : 1461464099
Total Pages : 215 pages
Book Rating : 4.4/5 (614 download)
Download or read book SmartData written by Inman Harvey and published by Springer Science & Business Media. This book was released on 2013-03-23 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: SmartData empowers personal data by wrapping it in a cloak of intelligence such that it now becomes the individual’s virtual proxy in cyberspace. No longer will personal data be shared or stored in the cloud as merely data, encrypted or otherwise; it will now be stored and shared as a constituent of the binary string specifying the entire SmartData agent. This agent proactively builds-in privacy, security and user preferences, right from the outset, not as an afterthought. SmartData: Privacy Meets Evolutionary Robotics includes the advances made in the technology of simulating virtual worlds, together with the ideas emerging from fields of evolutionary robotics and embodied cognition within a framework of dynamical systems as an approach toward this ultimate goal. The book brings together top researchers in the field and addresses current personal data privacy challenges in the online-world.
Author : Kaveh Sheibani
Publisher : ORLAB Analytics
ISBN 13 :
Total Pages : 89 pages
Book Rating : 4./5 ( download)
Download or read book Optimization Methods in Logistics written by Kaveh Sheibani and published by ORLAB Analytics. This book was released on 2014-06-30 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research and Logistics are strongly connected: most of the theoretical developments of the former have been motivated by applications in the latter. The spirit of this special issue on Optimization Methods in Logistics moves along the same line, with methodological approaches presented to respond to the needs of practitioners. Applications emerging in different branches of the wide field of logistics have been addressed by authors from Belgium, Brazil, Singapore, Spain, Switzerland, Thailand and the USA.
Author : Nazmul Siddique
Publisher : John Wiley & Sons
ISBN 13 : 1118534816
Total Pages : 524 pages
Book Rating : 4.1/5 (185 download)
Download or read book Computational Intelligence written by Nazmul Siddique and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.
Author : Vitaliy Feoktistov
Publisher : Springer Science & Business Media
ISBN 13 : 0387368965
Total Pages : 201 pages
Book Rating : 4.3/5 (873 download)
Download or read book Differential Evolution written by Vitaliy Feoktistov and published by Springer Science & Business Media. This book was released on 2007-02-15 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Individuals and enterprises are looking for optimal solutions for the problems they face. Most problems can be expressed in mathematical terms, and so the methods of optimization render a significant aid. This book details the latest achievements in optimization. It offers comprehensive coverage on Differential Evolution, presenting revolutionary ideas in population-based optimization and shows the best known metaheuristics through the prism of Differential Evolution.
Author : M. Teresa Escrig
Publisher : Springer Science & Business Media
ISBN 13 : 3540000119
Total Pages : 443 pages
Book Rating : 4.5/5 (4 download)
Download or read book Topics in Artificial Intelligence written by M. Teresa Escrig and published by Springer Science & Business Media. This book was released on 2002-10-09 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Catalonian Conference on Artificial Intelligence, CCIA 2002, held in Castellón, Spain in October 2002. The 37 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on reasoning models, constraint satisfation, machine learning and classification, multi-agent systems, and computer vision and robotics.
Author : Jili Tao
Publisher : Springer Nature
ISBN 13 : 981155403X
Total Pages : 280 pages
Book Rating : 4.8/5 (115 download)
Download or read book DNA Computing Based Genetic Algorithm written by Jili Tao and published by Springer Nature. This book was released on 2020-07-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.
Author : Wilfried Brauer
Publisher : Springer
ISBN 13 : 3540457119
Total Pages : 453 pages
Book Rating : 4.5/5 (44 download)
Download or read book Formal and Natural Computing written by Wilfried Brauer and published by Springer. This book was released on 2003-08-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state of the art research in theoretical computer science and related ?elds. In particular, the following areas are discussed: automata theory, formal languages and combinatorics of words, graph transformations, Petri nets, concurrency, as well as natural and molecular computing. The articles are written by leading researchers in these areas. The writers were originally invited to contribute to this book but then the normal refereeing procedure was applied as well. All of the articles deal with some issue that has been under vigorous study during recent years. Still, the topics range from very classical ones to issues raised only two or three years ago. Both survey articles and papers attacking speci?c research problems are included. The book highlights some key issues of theoretical computer science, as they seem to us now at the beginning of the new millennium. Being a comprehensive overview of some of the most active current research in theoretical computer science, it should be of de?nite interest for all researchers in the areas covered. The topics range from basic decidability and the notion of information to graph grammars and graph transformations, and from trees and traces to aqueous algorithms, DNA encoding and self-assembly. Special e?ort has been given to lucid presentation. Therefore, the book should be of interest also for advanced students.
Author : Felix Chan
Publisher : BoD – Books on Demand
ISBN 13 : 3902613092
Total Pages : 550 pages
Book Rating : 4.9/5 (26 download)
Download or read book Swarm Intelligence written by Felix Chan and published by BoD – Books on Demand. This book was released on 2007-12-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.
Author : Kwang Y. Lee
Publisher : John Wiley & Sons
ISBN 13 : 0471457116
Total Pages : 624 pages
Book Rating : 4.4/5 (714 download)
Download or read book Modern Heuristic Optimization Techniques written by Kwang Y. Lee and published by John Wiley & Sons. This book was released on 2008-02-08 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.
Author : Michel Gendreau
Publisher : Springer
ISBN 13 : 3319910868
Total Pages : 611 pages
Book Rating : 4.3/5 (199 download)
Download or read book Handbook of Metaheuristics written by Michel Gendreau and published by Springer. This book was released on 2018-09-20 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.
Author : Stephen Smith
Publisher : Springer Nature
ISBN 13 : 3031568524
Total Pages : 460 pages
Book Rating : 4.0/5 (315 download)
Download or read book Applications of Evolutionary Computation written by Stephen Smith and published by Springer Nature. This book was released on with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1799811948
Total Pages : 355 pages
Book Rating : 4.7/5 (998 download)
Download or read book Deep Learning Techniques and Optimization Strategies in Big Data Analytics written by Thomas, J. Joshua and published by IGI Global. This book was released on 2019-11-29 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
